Results 61 to 70 of about 11,872,577 (297)

Pixel Level Image Fusion using Fuzzylet Fusion Algorithm [PDF]

open access: yes, 2013
Image fusion algorithms based on SWT (Stationary Wavelet Transform) and fuzzy logic were developed and demonstrated. It was observed that fusion using SWT with higher levels of decomposition provides better fusion results. Similarly, Fuzzy image fusion
Bindu, Elias, Naidu, VPS, Swathi, Nair
core  

Algorithms for the Extension two Dimensional Fuzzy Signal via Decomposition and Reconstruction in Fuzzy Wavelets

open access: yesJournal of Computing Research and Innovation, 2023
The decomposition of an image can be done in the following way: The image is split into a low-resolution part, which can be described by a smaller number of samples than the original image, and a signal difference, which describes the difference between
Jean-louis Akakatshi Ossako   +3 more
doaj   +1 more source

The decomposition of image motion

open access: yes, 2014
Theories about how image motion can be processed by the visual system rest on one simple mathematical fact: image motion can be decomposed linearly into traveling sinusoidal waves, just like static images can be decomposed into static sinusoidal patterns.
openaire   +1 more source

Representation Decomposition For Image Manipulation And Beyond

open access: yes2021 IEEE International Conference on Image Processing (ICIP), 2021
Published at IEEE International Conference in Image Processing (ICIP ...
Shang-Fu Chen   +3 more
openaire   +2 more sources

Gravity‐Dependent Modulation of Downbeat Nystagmus: Insights From Velocity‐Storage Dysfunction

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Downbeat nystagmus varies with head position, a phenomenon termed gravity‐dependent modulation. We aimed to clarify its mechanism using a velocity‐storage model. Methods In 10 patients with downbeat nystagmus due to cerebellar disorders, we recorded eye movements at different pitch‐ and roll‐axis head positions.
Ji‐Hyung Park   +5 more
wiley   +1 more source

Real‐World Longitudinal Data on the Impact of Hydroxychloroquine Blood Level Monitoring on Lupus Outcomes: Results of a Prospective Longitudinal Cohort Study

open access: yesArthritis Care &Research, EarlyView.
Objective Hydroxychloroquine (HCQ) is a cornerstone therapy in systemic lupus erythematosus (SLE), but the weight‐based dosing does not account for clinical factors that can introduce individual variability in drug metabolism and clearance. We leveraged longitudinal data from a prospective SLE cohort to identify clinical factors that predict ...
Jay J. Patel   +6 more
wiley   +1 more source

A Knowledge‐Based Approach for Understanding and Managing Additive Manufacturing Data

open access: yesAdvanced Engineering Materials, EarlyView.
Additive manufacturing processes generate a large amount of data. Effectively managing, understanding, and retrieving information from this data remains a major challenge. Therefore, we propose an ontology‐based approach to integrate heterogeneous data, enable semantic queries, and support decision‐making.
Mina Abd Nikooie Pour   +5 more
wiley   +1 more source

Melanoma Detection Using an Objective System Based on Multiple Connected Neural Networks

open access: yesIEEE Access, 2020
Melanoma is a common form of skin cancer that dangerously affects many people around the world. Detection of melanoma with the naked eye by dermatologists may be subject to errors.
Loretta Ichim, Dan Popescu
doaj   +1 more source

An Image Transform Based on Temporal Decomposition [PDF]

open access: yesIEEE Geoscience and Remote Sensing Letters, 2018
Today, very dense synthetic aperture radar (SAR) time series are available through the framework of the European Copernicus Programme. These time series require innovative processing and preprocessing approaches including novel speckle suppression algorithms. Here we propose an image transform for hypertemporal SAR image time stacks.
Felix Cremer   +5 more
openaire   +3 more sources

Is an Apple an Orange? A Large Language Model Benchmark for Candidate Term Extraction and Subclass Decisions Against Upper Ontologies in Engineering and Materials Science

open access: yesAdvanced Engineering Materials, EarlyView.
Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch   +3 more
wiley   +1 more source

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